hypebot
boosted
Today's mood #ClimateEmergency #Capitalism #Fascism #AIHype
"What psychological mechanisms allow us to pour hundreds of billions into artificial intelligence while 600 million people will live in extreme poverty by 2030? The answer lies in the architecture of human decision-making under conditions of abstraction, proximity bias, and manufactured urgency."
#CorneliaCWalther, Ph.D, 2025
The AI investment frenzy exhibits classic bubble psychology: fear of missing out (FOMO) overriding rational assessment.
...
FOMO hijacks our social comparison mechanisms. We evaluate investments relative to what others are doing, not against absolute measures of value or social good. If your competitor invests in AI, you must too, regardless of whether it creates genuine value or inflates valuations.
#CorneliaCWalther, Ph.D, 2025
Today's mood #ClimateEmergency #Capitalism #Fascism #AIHype
Chip Butty
boosted
The other day, @noybeu published a great video explaining whats is wrong with the Digital Omnibus, a bundle of laws the EU commission wants to pass quickly in order to weaken the data protection standards the EU previously established in the GDPR.
My favourite quote is what @maxschrems says around minute 42:
When we talk about the AI discussion I usually kind of allude that originally when we came up with all those principles in the eighties in the Council of Europe, the idea was always that we are going to have this big algorithm that is going to suck up all your data, come to weird conclusions, and therefore we need transparency, rectification – we need all these things. And now, exactly at the time when this is the reality then suddenly the argument is we have to get rid of all these rules that were made for exactly this situation. So all this icks me a bit on all of that.
If you read it you sometimes get the idea that the commission wants to get to the AI promised land. And to get there we need to cut right through the whole GDPR.
Video: https://tilvids.com/w/vkPhGef6r5gvR9jiED2fGW
More: https://noyb.eu/en/digital-omnibus-eu-commission-wants-wreck-core-gdpr-principles
Next week, NOYB will publish the "GDPR Reform Report" with more details.
The other day, @noybeu published a great video explaining whats is wrong with the Digital Omnibus, a bundle of laws the EU commission wants to pass quickly in order to weaken the data protection standards the EU previously established in the GDPR.
My favourite quote is what @maxschrems says around minute 42:
When we talk about the AI discussion I usually kind of allude that originally when we came up with all those principles in the eighties in the Council of Europe, the idea was always that we are going to have this big algorithm that is going to suck up all your data, come to weird conclusions, and therefore we need transparency, rectification – we need all these things. And now, exactly at the time when this is the reality then suddenly the argument is we have to get rid of all these rules that were made for exactly this situation. So all this icks me a bit on all of that.
If you read it you sometimes get the idea that the commission wants to get to the AI promised land. And to get there we need to cut right through the whole GDPR.
Video: https://tilvids.com/w/vkPhGef6r5gvR9jiED2fGW
More: https://noyb.eu/en/digital-omnibus-eu-commission-wants-wreck-core-gdpr-principles
Next week, NOYB will publish the "GDPR Reform Report" with more details.
"The #AI hype machine relentlessly promotes the idea that we’re on the verge of creating something as intelligent as humans, or even “superintelligence” that will dwarf our own cognitive capacities.
But this theory is seriously scientifically flawed. LLMs are simply tools that emulate the communicative function of language, not the separate and distinct cognitive process of thinking and reasoning, no matter how many data centers we build."
My 2 cents on so-called Artificial General Intelligence (AGI).
AGI is a fictional, undefined machine god, which is causing harm and goes against the backbone of engineering principles.
@timnitGebru
Great video! Thank you ❤️
It's only one minute long - worth watching and sharing!
Seth of the Fediverse
boosted
I’m with AOC. When (not if) the AI bubble pops, there should be absolutely NO BAILOUT from the Federal government. Absolutely none.
I’m with AOC. When (not if) the AI bubble pops, there should be absolutely NO BAILOUT from the Federal government. Absolutely none.
Mre. Dartigen [maker mode]
boosted
I worked at a very successful, global, old school company for over 25 years.
In the #dotcom era I remember this company (who wanted zero to do with the internet) squeezing managers to come up with stories about how much revenue they piped through "E business", so they could tell the share market the same, and hitch up to the #SharePriceBubble, which they were missing out on. The stories were tenuous at best. My global project booked $Billions in orders as "E business" after pushing B2B customers to use an IVR & forecast based ordering.
Apropos nothing, I saw a LinkedIn article the other day by a VP of the same company, spruiking their #AI credentials. Knowing this company and it's cultural system of management control, I can guarantee there is no way they'd let even a private #LLM model run through their data, primarily due to unauthorised data exposure risks.
But hey, got to feed the #AIHype machine and convince the share market they're a growth business.
I worked at a very successful, global, old school company for over 25 years.
In the #dotcom era I remember this company (who wanted zero to do with the internet) squeezing managers to come up with stories about how much revenue they piped through "E business", so they could tell the share market the same, and hitch up to the #SharePriceBubble, which they were missing out on. The stories were tenuous at best. My global project booked $Billions in orders as "E business" after pushing B2B customers to use an IVR & forecast based ordering.
Apropos nothing, I saw a LinkedIn article the other day by a VP of the same company, spruiking their #AI credentials. Knowing this company and it's cultural system of management control, I can guarantee there is no way they'd let even a private #LLM model run through their data, primarily due to unauthorised data exposure risks.
But hey, got to feed the #AIHype machine and convince the share market they're a growth business.
Andreas Wagner
boosted
Well, that's a relief, isn't it? The Zuckerberg private foundation, sorry, the we-do-something-philanthropic-thingy-see-we-are-good-people-do-you?, stopped investing in diversity (bah!) and is now solving all our problems. How? With AI!
Whereas our colleagues publish study after study where in research applying AI does or does not make sense, some people still invest blindly in it. Or not?
Make no mistake: This is a well-founded investment! If you pour money with your business into little ROI, then putting money into something that creates apparent demand is a marketing investment.
Well, that's a relief, isn't it? The Zuckerberg private foundation, sorry, the we-do-something-philanthropic-thingy-see-we-are-good-people-do-you?, stopped investing in diversity (bah!) and is now solving all our problems. How? With AI!
Whereas our colleagues publish study after study where in research applying AI does or does not make sense, some people still invest blindly in it. Or not?
Make no mistake: This is a well-founded investment! If you pour money with your business into little ROI, then putting money into something that creates apparent demand is a marketing investment.
happyborg
boosted
"The biggest US-listed companies keep talking about artificial intelligence. But other than the “fear of missing out”, few appear to be able to describe how the technology is changing their businesses for the better.
That is the conclusion of a Financial Times analysis of hundreds of corporate filings and executive transcripts at S&P 500 companies last year, providing one of the most comprehensive insights yet into how the AI wave is rippling through American industry.
Big Tech giants such as Microsoft, Alphabet, Amazon and Meta have regularly extolled AI’s benefits, pledging to invest $300bn this year alone to develop the infrastructure around large language models.
Large companies far from Silicon Valley, from beverages giant Coca-Cola to sportswear maker Lululemon, are also discussing AI at ever-greater length in their regulatory filings. But they also largely paint a more sober picture of the technology’s usefulness, expressing concern over cyber security, legal risks and the potential for it to fail."
https://www.ft.com/content/e93e56df-dd9b-40c1-b77a-dba1ca01e473
""With the exception of Nvidia, which is selling shovels in a gold rush, most generative AI companies are both wildly overvalued and wildly overhyped," Gary Marcus, Emeritus Professor of Psychology and Neural Science at New York University, told DW. "My guess is that it will all fall apart, possibly soon. The fundamentals, technical and economic, make no sense."
Garran, meanwhile, believes the era of rapid progress in large language models (LLMs) is drawing to a close, not because of technical limits, but because the economics no longer stack up.
"They [AI platforms] have already hit the wall," Garran said, adding that the cost of training new models is "skyrocketing, and the improvements aren’t much better."
Striking a more positive tone, Sarah Hoffman, director of AI Thought Leadership at the New York-based market intelligence firm AlphaSense, predicted a "market correction" in AI, rather than a "cataclysmic 'bubble bursting.'"
After an extended period of extraordinary hype, enterprise investment in AI will become far more discerning, Hoffmann told DW in an emailed statement, with the focus "shifting from big promises to clear proof of impact."
"More companies will begin formally tracking AI ROI [return on investment] to ensure projects deliver measurable returns," she added."
https://www.dw.com/en/will-the-ai-bubble-burst-as-investors-grow-wary-of-returns/a-74636881
"The biggest US-listed companies keep talking about artificial intelligence. But other than the “fear of missing out”, few appear to be able to describe how the technology is changing their businesses for the better.
That is the conclusion of a Financial Times analysis of hundreds of corporate filings and executive transcripts at S&P 500 companies last year, providing one of the most comprehensive insights yet into how the AI wave is rippling through American industry.
Big Tech giants such as Microsoft, Alphabet, Amazon and Meta have regularly extolled AI’s benefits, pledging to invest $300bn this year alone to develop the infrastructure around large language models.
Large companies far from Silicon Valley, from beverages giant Coca-Cola to sportswear maker Lululemon, are also discussing AI at ever-greater length in their regulatory filings. But they also largely paint a more sober picture of the technology’s usefulness, expressing concern over cyber security, legal risks and the potential for it to fail."
https://www.ft.com/content/e93e56df-dd9b-40c1-b77a-dba1ca01e473
This is why nobody should ever try and vibe code a screen reader. Do not listen to the blind people that think this is a good idea. They are wrong. https://sightlessscribbles.com/posts/20250902/ #AI #AIHype #Accessibility #A11y
This is why nobody should ever try and vibe code a screen reader. Do not listen to the blind people that think this is a good idea. They are wrong. https://sightlessscribbles.com/posts/20250902/ #AI #AIHype #Accessibility #A11y
Jan :rust: :ferris:
boosted
Is there a database of wrong answers of ChatGPT that could be used to give my students the experience that AI sometimes makes stuff up?
Bonus point for wrong facts related to environment/natural sciences/biology.
When they get a wrong answer, the resulting discussion could be a very productive opportunity to learn critical thinking in modern times.
The situation is dire and we really need to counter the #AIHype before it is too late. My colleagues are split into a small group of AI-brainwormed (unfortunately we are almost forced to attend seminars with titles like "How AI can improve your teaching") and many totally desperate professors that do not know how to deal with the situation.
@VaryIngweion
@capita_picat
#TeachingInTheAgeOfAI #Education #HigherEd #SciComm #AcademicChatter